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Manager Causal Inference Jobs in Missouri (NOW HIRING)

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site

$85 - $115/hr

Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a ... Apply causal inference techniques using observational data to uncover relationships * Prepare and ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site

Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a ... Apply causal inference techniques using observational data to uncover relationships * Prepare and ...

Walmart

Staff, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions ... Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches ...

Walmart

Staff, Data Scientist (Pricing)

Cassville, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions ... Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches ...

Walmart

Staff, Data Scientist (Pricing)

Anderson, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions ... Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a ... Apply causal inference techniques using observational data to uncover relationships * Prepare and ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site

Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a ... Apply causal inference techniques using observational data to uncover relationships * Prepare and ...

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Manager Causal Inference information

What does a manager causal inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager causal inference?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.

How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What are the most commonly searched types of Causal Inference jobs in Missouri?

The most popular types of Causal Inference jobs in Missouri are:

What are popular job titles related to Manager Causal Inference jobs in Missouri?

For Manager Causal Inference jobs in Missouri, the most frequently searched job titles are:

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The top searched job categories for Manager Causal Inference jobs in Missouri are:

Manager Causal Inference jobs near you

Senior Product Manager - Data and AI Platform

ServiceTitan, Inc.

California, MO • On-site

$137.90 - $221.40/hr

Other

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

About the Role

ServiceTitan is building the operating system for the trades and is looking for a Staff Product Manager to join our Data & AI Platform team. The role focuses on leading algorithmic systems such as ranking, deduplication, and causal inference that underpin many downstream product features. It is a senior individual‑contributor position that requires deep statistical thinking and the ability to translate ambiguous, data‑driven problems into clear, actionable product requirements.

What you’ll do
  • Define and own the roadmap for algorithmic systems that are highest priority based on domain team and customer needs (ranking, deduplication, causal inference, or similar).
  • Translate customer pain points—such as bad matches, untrustworthy rankings, and misleading conclusions—into statistically rigorous product requirements.
  • Co‑author PRDs for problems where the “right answer” is not obvious, defining evaluation criteria as part of the solution.
  • Partner with ML and engineering teams to evaluate model tradeoffs (precision/recall, false‑positive cost, explainability vs. accuracy) and make product decisions when no clean answer exists.
  • Set measurable, multi‑quarter goals for algorithmic system health and lead cross‑functional teams toward them with rigor.
  • Lead discovery with domain product teams and customers to understand where algorithmic errors impact time, money, or trust.
  • Proactively resolve disagreements over methodology, ownership, and model quality before they stall other teams.
What you’ll bring
  • 5+ years of product management experience in enterprise B2B SaaS with a strong track record.
  • Experience with ranking/recommendation systems, entity resolution, or causal inference—ideally across multiple domains.
  • Genuine statistical fluency, comfortable with precision/recall tradeoffs, confounding vs. causation, and model evaluation.
  • Demonstrated ability to define evaluation criteria and “what correct looks like” for new statistical problems from scratch.
  • Comfort with context‑switching between algorithmic domains as priorities shift.
  • Strong communication skills, able to explain model tradeoffs to domain PMs, ML engineers, and customers at varying levels of technical detail.
  • Self‑starter who takes initiative and holds themselves accountable to outcomes; “mostly works” is not good enough.
Why This Role Matters

Algorithmic systems such as ranking, deduplication, and causal inference quietly decide what ServiceTitan surfaces, trusts, and acts on for both internal teams and customers. A wrong decision can lead to a customer trusting a bad recommendation or duplicate records remaining separate, which may go unnoticed. Your work will apply statistical rigor to decisions that are rarely handled by PMs, ensuring the systems on which many teams depend are accurate and trustworthy.

Benefits
  • Flex time, recognition, and support for autonomous work.
  • Comprehensive onboarding, leadership training, and continuous learning opportunities.
  • Holistic health and wellness benefits: company‑paid medical, dental, and vision; FSA and HSA; 401k match; telehealth and wellness programs.
  • Parental leave and reproductive health support; pet insurance; legal advisory services; financial planning tools.
Compensation

For United States candidates, the base salary range for this role is $147,600 - $221,400 (Zone1: CA, CT, DC, MD, MA, NJ, NY, VA, WA) or $137,900 - $206,900 (Zone2: other US locations). Compensation is based on experience, skill set, and performance and may include an annual bonus, equity, and other benefits.

ServiceTitan is committed to fair and equitable compensation for all employees. We comply with all applicable minimum wage laws.

EEO Statement

ServiceTitan is an equal opportunity employer and does not discriminate against employees or applicants on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, genetic information, veteran status, or any other protected characteristic.

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